InnoFind: AI-based innovations for more efficient e-commerce solutions in the fashion industry

E-commerce in the fashion industry has undergone a profound transformation thanks to the adoption of advanced technologies, in particular Artificial Intelligence (AI). One of the most innovative and high-impact applications is the development of advanced models for clothing detection and personalised clothing recommendation. These solutions not only optimise the customer experience, but also generate tangible benefits for companies, improving operational efficiency and increasing conversion rates.

For our part, we have taken another step forward in Artificial Intelligence with Innofind, a recent addition to CONVOTIS’ portfolio that we are confident will expand its customer base through its innovative functionality for ecommerce platforms.

Personalised recommendation: the key to a unique shopping experience

In this project, an advanced model for clothing detection and recommendation has been developed.  This type of technology can recognise different types of clothing (such as T-shirts, trousers, coats, etc.), and even more detailed characteristics such as colours, patterns and styles. To achieve this, AI algorithms are trained with large amounts of data, which allows them to ‘learn’ how clothes look from different angles and under various conditions.

Through the analysis of behavioural data and user preferences, AI algorithms can create highly personalised product recommendations. This is where the synergy between clothing detection and recommendation plays a crucial role in ecommerce.

It also provides users with a more personalised and satisfying shopping experience – and it’s as easy as two clicks!

Benefits of InnoFind in e-commerce

InnoFind offers numerous benefits for both retailers and consumers:

  • Improved shopping experience: The system not only finds visually similar garments, but also offers a more efficient search, directly connected to an ecommerce database, making shopping faster and more accurate.
  • Saves time: Instead of manually searching for garments online, you only need a picture of the desired garment or someone wearing it. Innofind does the work of finding similar products automatically.
  • Increased conversions: By receiving personalised suggestions, customers tend to buy more, as they feel the recommendations are aligned with their tastes and needs.
  • Inventory optimisation: Retailers can predict which garments will be most popular among certain consumer segments, adjusting their stock levels more efficiently.
  • Customer loyalty: By offering a more personalised shopping experience, brands are able to increase customer satisfaction and thus long-term loyalty.

Artificial Intelligence is transforming the e-commerce sector, providing consumers with an increasingly personalised and satisfying shopping experience. Based on live experience in over 10 countries with over a million users, we know that brands and businesses that rely on InnoFind not only increase their sales, but also build a deeper and more lasting bond with their customer base by offering a unique shopping experience tailored to each person’s individual needs and preferences.